As the VP of Education, this was the workshop I presented for the Waterloo Data Science Club (WDSC). In the workshop, I go over the math and theory behind how neural networks work. In a notebook demo, I show two applications of neural networks: building a feedforward neural network from scratch and classifying images from the Fashion-MNIST dataset (computer vision). At the end of the workshop, I go over the 4 different types of layers used to create convolutional neural networks (CNN's), which are the most commonly used neural network architecture for computer vision.
For the workshop, I create a slideshow that went over terms and concepts used in neural networks. You can look at the slideshow here.
I created a notebook to demonstrate two applications of neural networks: a feedforward neural network made from scratch and an ANN made with TensorFlow for classifying images from the Fashion-MNIST dataset (computer vision). You can see the notebook here or click on the notebook file in this repository.
The workshop was recorded and uploaded to YouTube! You can watch the video here.